The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 08, 2009

Filed:

Nov. 08, 2006
Applicants:

Robert Krauthgamer, Albany, CA (US);

Nimrod Megiddo, Palo Alto, CA (US);

Inventors:

Robert Krauthgamer, Albany, CA (US);

Nimrod Megiddo, Palo Alto, CA (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 1/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

Methods are provided for maximizing the throughput of a computer system in the presence of one or more power constraints. Throughput is maximized by repeatedly or continuously optimizing task scheduling and assignment for each of a plurality of components of a computer system. The components include a plurality of central processing units (CPUs) each operating at a corresponding operating frequency. The components also include a plurality of disk drives. The corresponding operating frequencies of one or more CPUs of the plurality of CPUs are adjusted to maximize computer system throughput under one or more power constraints. Optimizing task scheduling and assignment, as well as adjusting the corresponding operating frequencies of one or more CPUs, are performed by solving a mathematical optimization problem using a first methodology over a first time interval and a second methodology over a second time interval longer than the first time interval. The first methodology comprises a short term heuristic solver for adapting to computer system changes that occur on a short time scale, and the second methodology comprises a long term solver having greater accuracy and greater computational complexity than the first methodology.


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